This #CVPR2026 paper from our research team is trending #1 on @HuggingFace 🤗 Meet LocateAnything: ...
TL;DR · AI 摘要
NVIDIA 发布的 LocateAnything 模型通过并行解码显著提升目标检测速度与精度。
核心要点
- LocateAnything 模型在 CVPR2026 上排名第一，使用并行解码技术。
- 模型基于 1.38 亿高质量样本训练，显著提升视觉定位和检测吞吐量。
- 适用于 AI 代理和机器人，解决快速定位目标的实际需求。
结构提纲
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- LocateAnything 模型
金句 / Highlights
值得收藏与分享的关键句。
LocateAnything 模型通过并行解码技术，显著提升目标检测速度与精度。
模型基于 1.38 亿高质量样本训练，显著提升视觉定位和检测吞吐量。
适用于 AI 代理和机器人，解决快速定位目标的实际需求。
Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to https://t.co/2OGaQnUCnX" / X
This #CVPR2026 paper from our research team is trending #1 on
Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to act. Trained on 138M high-quality samples, LocateAnything decodes bounding boxes in parallel instead of one coordinate at a time, improving localization accuracy while dramatically increasing throughput for visual grounding and detection. Project page: nvda.ws/4dKSohb
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